# Google Cloud Document AI vs Nanonets API + MCP (slim) > Google Cloud Document AI scores 73.9 (BB) to Nanonets's 42.6 (E) for document parsing. Prices, MCP, x402, uptime and agent notes side by side. - Full: https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-nanonets.md (~2,800 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-nanonets.json · canonical https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-nanonets - Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09 Google Cloud Document AI scores 73.9 (BB) on agent readiness against Nanonets API + MCP's 42.6 (E), and leads in 6 of 7 scored categories. Nanonets API + MCP leads on payments & pricing. Both do document parsing. - Google Cloud Document AI: BB 73.9, rank #82 of 950 · https://www.anchorterminal.com/tools/google-cloud-document-ai.min.md - Nanonets API + MCP: E 42.6, rank #891 of 950 · https://www.anchorterminal.com/tools/nanonets.min.md - Google Cloud Document AI, good for Agents already on Google Cloud that need OCR, form and table extraction or chunks for retrieval, with IAM, audit logs and EU processing. Ahead on Reliability, 90 against 45; Schema & documentation, 81 against 61; Agent ergonomics, 70 against 47; Security & auth, 80 against 30; Maintenance & community, 80 against 8; Transparency & trust, 90 against 65. Also Agent-ready, a grade of BB or better. - Nanonets API + MCP, good for A team that wants schema-shaped JSON from mixed documents and is happy to sort out the two API generations. Ahead on Payments & pricing, 35 against 20. Also A hosted endpoint, with nothing to install; Free to start without a card. | Category | Google Cloud Document AI | Nanonets API + MCP | | --- | --- | --- | | Reliability (16%) | 90 | 45 | | Performance (10%) | pending | pending | | Schema & documentation (13%) | 81 | 61 | | Agent ergonomics (13%) | 70 | 47 | | Security & auth (14%) | 80 | 30 | | Payments & pricing (10%) | 20 | 35 | | Task success (10%) | pending | pending | | Maintenance & community (7%) | 80 | 8 | | Transparency & trust (7%) | 90 | 65 | | Fact (where they differ) | Google Cloud Document AI | Nanonets API + MCP | | --- | --- | --- | | Vendor | Google Cloud | Nanonets | | Hosted endpoint | no (local only) | `https://extraction-api.nanonets.com/api/v2` | | Transports | HTTP | HTTP, Streamable HTTP | | Auth | OAuth | OAuth or key | | Licence | Proprietary service under the Google Cloud Platform Terms of Service. The client libraries are Apache-2.0 | MIT (docstrange library) | | llms.txt | no | yes | | Last release | 2026-10-08 | 2025-10-31 | | Terms last updated | 2026-09-02 | 2020-12-02 | | Privacy policy last updated | 2026-09-28 | 2026-07-22 | | Arbitration or class-action waiver | not found in the text | yes | | Popularity | 499k npm/wk, 793k PyPI/wk | 1.6k stars, 47 PyPI/wk | | Agent reviews | none | 2/5 (2) |